KG_Construction

Here, we are concentrate on collection of research papers associated with knowledge graph construction.

Table of Contents

• Survey
• Commonsense Knowledge Graph Construction
• Eventic Graph Construction
• General Knowledge Graph Construction
• Specified Knowledge Graph Construction
• Tools

Survey

1. Gerhard Weikum, Luna Dong, Simon Razniewski, and Fabian Suchanek. Machine Knowledge: Creation and Curation of Comprehensive Knowledge Bases. Arxiv 2020. [Report]

2. Tianxing Wu, Guilin Qi, Cheng Li, Meng Wang. A Survey of Techniques for Constructing Chinese Knowledge Graphs and Their Applications. sustainability 2018. [Paper]

3. Feiliang Ren, Yining Hou, Yan Li, Linfeng Pan, Yi Zhang, Xiaobo Liang, Yongkang Liu, Yu Guo, Rongsheng Zhao, Ruicheng Ming, Huiming Wu. TechKG: A Large-Scale Chinese Technology - Oriented Knowledge Graph. Arxiv 2018. [Paper]

4. Heiko Paulheim. Automatic Knowledge Graph Refinement: A Survey of Approaches and Evaluation Methods. Semantic Web 2015. [Paper]

5. Chengyu Wang, Ming Cao, Xiaofeng He, Rong Zhang. Challenges in Chinese Knowledge Graph Construction. ICDE 2015 Workshops. [Paper]

6. Fabian M. Suchanek, Gerhard Weikum. Knowledge Bases in the Age of Big Data Analytics. VLDB 2014. [Paper]

7. Eduard Hovy, Roberto Navigli, Simone Paolo Ponzetto. Collaboratively build semi-structured content and Artificial Intelligence: The story so far. Artificial Intelligence 2013. [Paper]

8. Christian Bizer, Tom Heath, Tim Berners-Lee. Linked Data - The Story So Far. ijswis-special-issue 2009. [Paper]

9. 刘宝珠, 王鑫, 柳鹏凯等. KGDB:统一模型和语言的知识图谱数据库管理系统. 软件学报 2021年.

10. 陈晓军, 向阳. 企业风险知识图谱的构建及应用. 计算机科学 2020年.

11. 刘烨宸, 李华昱. 领域知识图谱研究综述. 电子技术应用 2020年第29卷第6期. [Paper]

12. 王鑫, 王朝坤, 彭鹏, 冯志勇. 知识图谱数据管理研究综述. 软件学报 2019年第30卷第7期. [Paper]

13. 谢刚. 知识图谱精化研究综述. 电子技术应用 2018年第44卷第9期. [Paper]

14. 漆桂林, 高桓, 吴天星. 知识图谱研究进展. 情报工程 2017. [Paper]

15. 李涓子, 侯磊. 知识图谱研究综述. 山西大学学报（自然科学版） 2017. [Paper]

16. 李涛, 王次臣, 李华康. 知识图谱的发展与构建. 南京理工大学学报 2017第41卷第1期. [Paper]

17. 任飞亮, 沈继坤, 孙宾宾, 朱靖波. 从文本中构建领域本体技术综述. 计算机学报 2017第40卷. [Paper]

18. 李赫然, 冯花朴. 信息行为研究的知识图谱综述. 信息管理与信息学 2017. [Paper]

19. 阮彤, 王梦婕, 王昊奋, 胡芳槐. 垂直知识图谱的构建与应用研究. 知识管理论坛 2016. [Paper]

20. 徐增林, 盛泳潘, 贺丽荣, 王雅芳. 知识图谱技术综述. 电子科技大学学报（自然科学版） 2016. [Paper]

21. 刘峤, 李杨, 段宏, 刘瑶, 秦志光. 知识图谱构建技术综述. 计算机研究与发展 2016. [Paper]

22. 王昊奋. 大规模知识图谱技术. 中国计算机学会通讯 2014 第3期. [Paper]

23. 王国胤, 张清华, 马希骜, 杨青山. 知识不确定性问题的粒计算模型. 软件学报 2011 第22期. [Paper]

24. Elias Kärle. How To Build A Knowledge Graph.

25. 杭婷婷, 冯钧, 陆佳民. 知识图谱构建技术: 分类、调查和未来方向.

358篇机器学习 & 自然语言处理综述论文. 2020.07.18专知发布. [Report]

知识图谱构建的研究已走入下半场，但大规模落地应用仍需时间. 2020.11.04 学术头条.

【ISWC2020】如何高效地构建大规模知识图谱？ 2020.11.07.

Wiztalk | 刘铭 Part 1 《开放域知识图谱的构建到使用—知识图谱的发展历程》 | Wiztalk | 刘铭 Part 2 《开放域知识图谱的构建到使用—知识图谱的发展历程》 | Wiztalk | 刘铭 Part 3 《开放域知识图谱的构建到使用—知识图谱的发展历程》. 2020.11.07.

人工智能的理论及实践 知识图谱.

基于知识图谱的问答系统相关论文分类整理.

资源分享 | 深度图表示学习的论文/视频教程/博客合集.

【综述系列】干货速看！知识图谱 or 机器学习.

【知识图谱系列】知识图谱+图神经网络 | 【知识图谱构建系列II】实体链接综述+20篇文献调研 | 【知识图谱系列】Deep GNN评测，模型退化是做不深的主要原因！ | 【预训练模型系列III】知识图谱预训练模型的新进展综述 | 【知识图谱构建系列IV】关系抽取综述，挑战与机遇共存 | 【知识图谱系列】知识表示学习Trans系列梳理，论文和代码详解 | 【知识图谱系列】万字综述，重新思考空域与谱域GNN之间的联系 | 综述 | 三大路径，一文总览知识图谱融合预训练模型的研究进展 | 【知识图谱系列】万字长文梳理关系图谱与CTR预估模型发展过程 | 【知识图谱构建系列V】事件抽取综述，挑战与机遇共存 | 【知识图谱构建系列Ⅵ】再谈，事件抽取前沿综述 | 【知识图谱系列】 图神经网络在推荐系统上的应用 | 【知识图谱系列】图神经网络最新研究进展与应用：「扩展性」、「鲁棒性」、「表达能力」

整理了近五年顶会都收录了哪些实体链接文章

【专家视角】解读知识图谱在教育智能化中的应用（上） | 【专家视角】解读知识图谱在教育智能化中的应用（下） | 【专家观点】肖仰华｜教育知识图谱: 机遇与挑战

知识图谱可视化技术在美团的实践与探索

Eventic_Graph_Construction

1. Xiao Ding, Zhongyang Li, Ting Liu, Kuo Liao. ELG: An Event Logic Graph. arxiv 2019. [Paper]

2. Zhongyang Li, Xiao Ding, Ting Liu. Constructing Narrative Event Evolutionary Graph for Script Event Prediction. IJCAI 2018. [Paper]

3. Sendong Zhao, Quan Wang, Sean Massung, Bing Qin, Ting Liu, Bin Wang, ChengXiang Zhai. Constructing and Embedding Abstract Event Causality Networks from Text Snippets. WSDM 2017. [Paper]

4. 王军平, 张文生, 王勇飞, 孙正雅. 面向大数据领域的事理认知图谱构建与推断分析. 中国科学：信息科学 2020. [Paper]

Commonsense_Knowledge_Graph_Construction

1. Maarten Sap, Ronan Le Bras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A. Smith, Yejin Choi. ATOMIC: An Atlas of Machine Commonsense for If-Then Reasoning. AAAI 2019. [Paper]

2. Fanchao Qi, Chenghao Yang, Zhiyuan Liu, Qiang Dong, Maosong Sun, Zhendong Dong. OpenHowNet: An Open Sememe-based Lexical Knowledge Base. Arxiv 2019. [Paper]

3. Antoine Bosselut, Hannah Rashkin, Maarten Sap, Chaitanya Malaviya, Asli Celikyilmaz, Yejin Choi. COMET: Commonsense Transformers for Automatic Knowledge Graph Construction. Arxiv 2019. [Paper]

4. Shane Storks, Qiaozi Gao, Joyce Y. Chai. Commonsense Reasoning for Natural Language Understanding: A Survey of Benchemarks, Resources, and Approaches. Recent Advances in Neural Language Inference: A Survey 2019. [Paper]

5. Andrew S. Gordon. Mining Commonsense Knowledge From Personal Stories in Internet Weblogs. Arxiv 2011. [Paper]

6. Priya K V, Mathew Kurian. Mining Event-based Commonsense Knowledge from Web using NLP Techniques. IJCAI 2011. [Paper]

General_Knowledge_Graph_Construction

1. Thomas Pellissier-Tanon, Gerhard Weikum, and Fabian Suchanek. YAGO 4: A Reason-able Knowledge Base. ESWC 2020. [Paper]

2. Bo Xu, Jiaqing Liang, Chenhao Xie, Bin Liang, Lihan Chen, Yanghua Xiao. CN-DBpedia2: An Extraction and Verification Framework for Enriching Chinese Encyclopedia Knowledge Base. Data Intelligence 2019. [Paper]

3. ⭐ Hailong Jin, Chengjiang Li, Jing Zhang, Lei Hou, Juanzi Li, Peng Zhang. XLORE2: Large-scale Cross-lingual Knowledge Graph Construction and Application. Data Intelligence 2019. [Paper]

This paper proposes a two-stage tagging scheme for joint extraction of entities and relations. The performance significant beats all of the previous works in NYT and WebNLG.

4. Jose L. Martinez-Rodriguez, Ivan Lopez-Arevalo, Ana B.Rios-Alvarado. OpenIE-based approach for Knowledge Graph construction from text. Expert Systems With Applications 2018. [Paper]

5. Mohamed Al-Badrashiny, Jason Bolton, Arun Tejavsi Chaganty, et al. TinkerBell: Cross-lingual Cold-Start Knowledge Base Construction. TACL 2017. [Paper]

6. Jiaqing Liang, Yanghua Xiao, Haixun Wang, Yi Zhang, Wei Wang. Probase+: Infering Missing Links in Conceptual Taxonomies. TKDE 2017. [Paper]

7. Bo Xu, Yong Xu, Jiaqing Liang, Chenhao Xie, Bin Liang, Wanyun Cui, Yanghua Xiao. CN-DBpedia: A Never-Ending Chinese Knowledge Extraction System. IEA/AIE 2017. [Paper]

8. Thomas Rebele, Fabian Suchanek, Johannes Hoffart, Joanna Biega, Erdal Kuzey, Gerhard Weikum. YAGO: a multilingual knowledge base from Wikipedia, Wordnet, and Geonames. ISWC 2016. [Paper]

9. Jiangang Zhu, Haofen Wang, Beijun Shen. Software.zhishi.schema: A Software Programming Taxonomy Derived from Stackoverflow. ISWC 2015. [Paper]

10. Farzaneh Mahdisoltani, Joanna Biega, Fabian M. Suchanek. YAGO3: A Knowledge Base from Multilingual Wikipedias. CIDR 2015. [Paper]

11. Fredo Erxleben, Michael Günther, Markus Krötzsch, Julian Mendez, and Denny Vrandeciˇc. Introducing Wikidata to the Linked Data Web. ISWC 2014. [Paper]

12. Xin Luna Dong, Evgeniy Gabrilovich, Geremy Heitz, Wilko Horn, Ni Lao, Kevin Murphy, Thomas Strohmann, Shaohua Sun, Wei Zhang. Knowledge Vault: A Web-Scale Approach to Probabilistic Knowledge Fusion. KDD 2014. [Paper]

13. Tianxing Wu, Shaowei Ling, Guilin Qi, Haofen Wang. Mining Type Information from Chinese Online Encyclopedias. JIST 2014. [Paper]

14. Zhigang Wang, Juan-Zi Li, Zhichun Wang, Shuangjie Li, Mingyang Li, Dongsheng Zhang, Yao Shi, Yongbin Liu, Peng Zhang, Jie Tang. XLore: A Large-scale English-Chinese Bilingual Knowledge Graph. ISWC 2013. [Paper]

15. Joanna Biega, Erdal Kuzey, Fabian M. Suchanek. Inside YAGO2s: A Transparent Information Extraction Architecture. WWW 2013. [Paper]

16. Johannes Hoffarta, Fabian M. Suchanekb, Klaus Berbericha, Gerhard Weikuma. YAGO2: A Spatially and Temporally Enhanced Knowledge Base from Wikipedia. Artificial Intelligence 2013. [Paper]

17. Jens Lehmann, Robert Isele, Max Jakob, Anja Jentzsch, Dimitris Kontokostas, Pablo N. Mendesf, Sebastian Hellmann, Mohamed Morsey, Patrick van Kleef, Soren Auer, Christian Bizer. DBpedia – A Large-scale, Multilingual Knowledge Base Extracted from Wikipedia. Semantic Web 2012. [Paper]

18. Wentao Wu, Hongsong Li, Haixun Wang, Kenny Q. Zhu. Probase: A Probabilistic Taxonomy for Text Understanding. SIGMOD 2012. [Paper]

19. Robert Speer, Catherine Havasi. Representing General Relational Knowledge in ConceptNet 5. IREC 2012. [Paper]

20. Roberto Navigli, Simone Paolo Ponzetto. BabelNet: The automatic construction, evaluation and application of a wide-coverage multilingual semantic network. Artificial Intelligence, 2012. [Paper]

21. Johannes Hoffart, Xinruo Sun, Fabian M. Suchanek, Klaus Berberich, Edwin Lewis-Kelham, Gerard de Melo, Gerhard Weikum. YAGO2: Exploring and Querying World Knowledge in Time, Space, Context, and Many Languages. WWW 2011. [Paper]

22. Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam R. Hruschka Jr., Tom M. Mitchell1. Toward An Architecture for Never-Ending Language Learning. AAAI 2010. [Paper]

23. Xing Niu, Xinruo Sun, Haofen Wang, Shu Rong, Guilin Qi, Yong Yu. Zhishi.me - Weaving Chinese Linking Open Data. ISWC 2011. [Paper]

24. Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, Jamie Taylor. Freebase: A Collaboratively Created Graph Database For Structuring Human Knowledge. SIGMOD 2008. [Paper]

25. Fabian M. Suchanek, Gjergji Kasneci, Gerhard Weikum. YAGO: A Core of Semantic Knowledge Unifying WordNet and Wikipedia. WWW 2007. [Paper]

26. George A.Miller. WordNet: A Lexical Database for English. Communications of the ACM, 1995. [Paper]

27. George A.Miller. CYC: A Large-Scale Investment in Knowledge Infrastructure. Communications of the ACM, 1995. [Paper]

Specified_Knowledge_Graph_Construction

1. Qingyun Wang, Manling Li, et al. COVID-19 Literature Knowledge Graph Construction and Drug Repurposing Report Generation. Arxiv 2020. [Paper]

2. Yongpan Sheng, Zenglin Xu, Yafang Wang, Gerard de Melo. Multi-document semantic relation extraction for news analytics. WWWJ 2020. [Paper]

3. Tianwen Jiang, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh Chawla, Meng Jiang. Biomedical Knowledge Graphs Construction from Conditional Statements. TCBB 2020. [Paper]

4. Wei Zheng, Zhichun Wang, Mingchen Sun, Yanrong Wu, Kaiman Li. Building a Large-Scale Knowledge Graph for Elementary Education in China. JIST 2019. [Paper]

5. Yu Song, Linkun Cai, Kunli Zhang, Hongying Zan, Tao Liu, Xiaohui Ren. Construction of Chinese Pediatric Medical Knowledge Graph. JIST 2019. [Paper]

6. Yantao Jia, Dong Liu, Zhicheng Sheng, Letian Feng, Yi Liu, Shuo Guo. EasyKG: An End-to-End Knowledge Graph Construction System. JIST 2019. [Paper]

7. Sheng Bi, Yanhui Huang, Xiya Cheng, Meng Wang, Guilin Qi. Building Chinese Legal Hybrid Knowledge Network. KSEM 2019. [Paper]

8. Tianwen Jiang, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang. Constructing Information-Lossless Biological Knowledge Graphs from Conditional Statements. BIOKDD 2019. [Paper]

9. Steven Haussmann, Oshani Seneviratne, Yu Chen, Yarden Ne’eman, James Codella, Ching-Hua Chen, Deborah L. McGuinness, Mohammed J. Zaki. FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation. ISWC 2019. [Paper]

10. Yongpan Sheng, Zenglin Xu, Yafang Wang, Xiangyu Zhang, Jia Jia, Zhonghui You, Gerard de Melo. Visualizing Multi-Document Semantics via Open Domain Information Extraction. ECML-PKDD 2018. [Paper]

11. Marieke van Erp, Melvin Wevers, Hugo Huurdeman. Constructing a Recipe Web from Historical Newspapers. ISWC 2018. [Paper]

12. Penghe Chen, Yu Lu, Vincent W.Zheng, Xiyang Chen, Xiaoqing Li. An Automatic Knowledge Graph Construction System for K-12 Education. ACM Conference on Learning @ Scale 2018. [Paper]

13. Heng Weng, Ziqing Liu, Shixing Yan, Meiyu Fan, Aihua Ou, Dacan Chen, Tianyong Hao. A Framework for Automated Knowledge Graph Construction Towards Traditional Chinese Medicine. HIS 2017. [Paper]

14. Longxiang Shi, Shijian Li, Xiaoran Yang, Jiaheng Qi, Gang Pan, Binbin Zhou. Semantic Health Knowledge Graph: Semantic Integration of Heterogeneous Medical Knowledge and Services. BioMed Research International 2017. [Paper]

15. Tianxing Wu, Cong Gao, Guilin Qi, Lei Zhang, Chuanqi Dong, He Liu, Du Zhang. KG-Buddhism: The Chinese Knowledge Graph on Buddhism. JIST 2017. [Paper]

16. Jie Tang, Jing Zhang, Limin Yao, Juanzi Li, Li Zhang, Zhong Su. ArnetMiner: Extraction and Mining of Academic Social Networks. KDD 2008. [Paper]

17. 周园春, 王卫军, 乔子越, 肖濛, 杜一. 科技大数据知识图谱构建方法及应用研究综述. 中国科学：信息科学 2020. [Paper]

18. 杨玉基, 许斌, 胡家威, 仝美涵, 张鹏, 郑莉. 一种准确而高效的领域知识图谱构建方法. 软件学报 2018. [Paper]

19. 袁凯琦, 邓扬, 陈道源, 张冰, 雷凯, 沈 颖 . 医学知识图谱构建技术与研究进展. 计算机应用研究 2017年第35卷第7期. [Paper]

20. 蒋秉川, 万刚, 许剑, 李锋, 温荟琦. 多源异构数据的大规模地理知识图谱构建. 测绘学报 2018 第8期. [Paper]

21. 温雯, 伍思杰, 蔡瑞初, 郝志峰, 王丽娟. KECVS: 一个面向专业文献知识实体的类型标注及可视化系统. 计算机应用与软件 2017年第8期. [Paper]

22. 阮彤, 孙程琳, 王昊奋, 方之家, 殷亦超. 中医药知识图谱构建与应用. 医学信息学杂志 2016年第37卷第4期. [Paper]

23. 李茂君, 农玉红. 我国当前翻译研究热点的知识图谱可视化分析. 上海翻译 2016年第4期. [Paper]

24. 杜亚军, 吴越. 微博知识图谱构建方法研究. 西华大学学报（自然科学版） 2015 第1期. [Paper]

25. 贾李蓉, 刘静, 于彤, 董燕, 朱玲, 高博, 刘丽. 中医药知识图谱构建. 医学信息学杂志 2015年第36卷第8期. [Paper]

26. 熊晶, 钟珞, 王爱民. 甲骨文知识图谱构建中的实体关系发现研究. 计算机工程与科学 2015年第37卷第11期. [Paper]

Auto-Text to Knowledge (介绍几个专门面向中文的命名实体识别和关系抽取工具). 2020.10.26 知乎.

2020 WAIC明略科技吴信东深度解读知识图谱的自动构建. 2020.07.13 大众新闻.

Tools

1. OpenNE-Pytorch：开源网络嵌入工具包

2. Deep Graph Library